Optimizing Cognitive Ad-Hoc Wireless Networks for Green Communications
This paper investigates the potential of smart routing in minimization of radio environment pollution in cognitive ad-hoc wireless networks. A wireless ad-hoc sensor network based on the IEEE 802.11b standard is used as a simulation testbed to determine statistical distribution of interference levels. Three different routing methods are used - flood routing, Location Aware Routing (LAR) and a Simultaneous Localization And radio environment Mapping based routing (SLAM routing). Results show that LAR partially reduces interference by limiting number of transmissions for a single packet resulting in lower interference.